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Journal Articles
- 2025
[j1]Qingwen Liu, Zejun Li, Zhihao Fan, Cunxiang Yin, Yancheng He, Jing Cai, Jinhua Fu, Zhongyu Wei:
Bridging the Domain Gap in Grounded Situation Recognition via Unifying Event Extraction across Modalities. Data Intell. 7(1): 143-162 (2025)
Conference and Workshop Papers
- 2025
- [c30]Hui Huang, Jiaheng Liu, Yancheng He, Shilong Li, Bing Xu, Conghui Zhu, Muyun Yang, Tiejun Zhao:
MuSC: Improving Complex Instruction Following with Multi-granularity Self-Contrastive Training. ACL (1) 2025: 10667-10686 - [c29]Yingshui Tan, Boren Zheng, Baihui Zheng, Kerui Cao, Huiyun Jing, Jincheng Wei, Jiaheng Liu, Yancheng He, Wenbo Su, Xiaoyong Zhu, Bo Zheng, Kaifu Zhang:
Chinese SafetyQA: A Safety Short-form Factuality Benchmark for Large Language Models. ACL (1) 2025: 15053-15076 - [c28]Jihao Gu, Yingyao Wang, Pi Bu, Chen Wang, Ziming Wang, Tengtao Song, Donglai Wei, Jiale Yuan, Yingxiu Zhao, Yancheng He, Shilong Li, Jiaheng Liu, Meng Cao, Jun Song, Yingshui Tan, Xiang Li, Wenbo Su, Xiaoyong Zhu, Bo Zheng:
See the World, Discover Knowledge: A Chinese Factuality Evaluation for Large Vision Language Models. ACL (Findings) 2025: 16422-16447 - [c27]Yancheng He, Shilong Li, Jiaheng Liu, Weixun Wang, Xingyuan Bu, Ge Zhang, Z. Y. Peng, Zhaoxiang Zhang, Zhicheng Zheng, Wenbo Su, Bo Zheng:
Can Large Language Models Detect Errors in Long Chain-of-Thought Reasoning? ACL (1) 2025: 18468-18489 - [c26]Yancheng He, Shilong Li, Jiaheng Liu, Yingshui Tan, Weixun Wang, Hui Huang, Xingyuan Bu, Hangyu Guo, Chengwei Hu, Boren Zheng, Zhuoran Lin, Dekai Sun, Zhicheng Zheng, Wenbo Su, Bo Zheng:
Chinese SimpleQA: A Chinese Factuality Evaluation for Large Language Models. ACL (1) 2025: 19182-19208 - [c25]Shilong Li, Yancheng He, Hui Huang, Xingyuan Bu, Jiaheng Liu, Hangyu Guo, Weixun Wang, Jihao Gu, Wenbo Su, Bo Zheng:
2D-DPO: Scaling Direct Preference Optimization with 2-Dimensional Supervision. NAACL (Findings) 2025: 8149-8173 - [c24]Jianyu Liu, Hangyu Guo, Ranjie Duan, Xingyuan Bu, Yancheng He, Shilong Li, Hui Huang, Jiaheng Liu, Yucheng Wang, Chenchen Jing, Xingwei Qu, Xiao Zhang, Pei Wang, Yanan Wu, Jihao Gu, Yangguang Li, Jianke Zhu:
DREAM: Disentangling Risks to Enhance Safety Alignment in Multimodal Large Language Models. NAACL (Long Papers) 2025: 12097-12118 - 2024
- [c23]Ge Bai, Jie Liu, Xingyuan Bu, Yancheng He, Jiaheng Liu, Zhanhui Zhou, Zhuoran Lin, Wenbo Su, Tiezheng Ge, Bo Zheng, Wanli Ouyang:
MT-Bench-101: A Fine-Grained Benchmark for Evaluating Large Language Models in Multi-Turn Dialogues. ACL (1) 2024: 7421-7454 - [c22]Shilong Li, Yancheng He, Hangyu Guo, Xingyuan Bu, Ge Bai, Jie Liu, Jiaheng Liu, Xingwei Qu, Yangguang Li, Wanli Ouyang, Wenbo Su, Bo Zheng:
GraphReader: Building Graph-based Agent to Enhance Long-Context Abilities of Large Language Models. EMNLP (Findings) 2024: 12758-12786 - [c21]Tao You, Zejun Li, Zhihao Fan, Cunxiang Yin, Yancheng He, Jing Cai, Jinhua Fu, Zhongyu Wei:
An Iterative Framework for Document-Level Event Argument Extraction Assisted by Long Short-Term Memory. NLPCC (2) 2024: 69-81 - [c20]Wenshuang Liu, Guoqiang Xu, Bada Ye, Xinji Luo, Yancheng He, Cunxiang Yin:
MDAN: Multi-distribution Adaptive Networks for LTV Prediction. PAKDD (3) 2024: 409-420 - [c19]Hanyu Li
, Weizhi Ma, Peijie Sun, Jiayu Li, Cunxiang Yin, Yancheng He, Guoqiang Xu, Min Zhang, Shaoping Ma:
Aiming at the Target: Filter Collaborative Information for Cross-Domain Recommendation. SIGIR 2024: 2081-2090 - 2023
- [c18]Dekai Sun, Yancheng He, Jiqing Han:
Using Auxiliary Tasks In Multimodal Fusion of Wav2vec 2.0 And Bert for Multimodal Emotion Recognition. ICASSP 2023: 1-5 - [c17]Yuchen Zhang, Mingjun Zhao, Chenglin Li, Weiyu Tou, Haolan Chen, Di Niu, Cunxiang Yin, Yancheng He, Fei Guo:
Online Volume Optimization for Notifications via Long Short-Term Value Modeling. PAKDD (3) 2023: 16-28 - 2022
- [c16]Xiaofeng He, Guoqiang Xu, Cunxiang Yin, Zhongyu Wei, Yuncong Li, Yancheng He, Jing Cai:
Causal Enhanced Uplift Model. PAKDD (3) 2022: 119-131 - [c15]Guoqiang Xu, Cunxiang Yin, Yuchen Zhang, Yuncong Li, Yancheng He, Jing Cai, Zhongyu Wei:
Learning Discriminative Representation Base on Attention for Uplift. PAKDD (3) 2022: 200-211 - [c14]Yuncong Li, Cunxiang Yin, Yancheng He, Guoqiang Xu, Jing Cai, Leeven Luo, Sheng-hua Zhong:
Modeling User Repeat Consumption Behavior for Online Novel Recommendation. RecSys 2022: 14-24 - [c13]Zihang Liu, Yancheng He, Feiqing Zhuang, Bing Xu:
HITMI&T at SemEval-2022 Task 4: Investigating Task-Adaptive Pretraining And Attention Mechanism On PCL Detection. SemEval@NAACL 2022: 438-444 - 2021
- [c12]Xinyi Mou, Zhongyu Wei, Lei Chen, Shangyi Ning, Yancheng He, Changjian Jiang, Xuanjing Huang:
Align Voting Behavior with Public Statements for Legislator Representation Learning. ACL/IJCNLP (1) 2021: 1236-1246 - [c11]Siyu Duan, Wei Li, Jing Cai, Yancheng He, Yunfang Wu:
Query-Variant Advertisement Text Generation with Association Knowledge. CIKM 2021: 412-421 - [c10]Shuqing Bian, Wayne Xin Zhao, Kun Zhou, Jing Cai, Yancheng He, Cunxiang Yin, Ji-Rong Wen:
Contrastive Curriculum Learning for Sequential User Behavior Modeling via Data Augmentation. CIKM 2021: 3737-3746 - [c9]Mingzhe Xing, Shuqing Bian, Wayne Xin Zhao, Zhen Xiao, Xingji Luo, Cunxiang Yin, Jing Cai, Yancheng He:
Learning Reliable User Representations from Volatile and Sparse Data to Accurately Predict Customer Lifetime Value. KDD 2021: 3806-3816 - [c8]Fang Wang, Yuncong Li, Sheng-hua Zhong, Cunxiang Yin, Yancheng He:
Aspect-Sentiment-Multiple-Opinion Triplet Extraction. NLPCC (1) 2021: 583-594 - [c7]Shuqing Bian, Wayne Xin Zhao, Kun Zhou, Xu Chen, Jing Cai, Yancheng He, Xingji Luo, Ji-Rong Wen:
A Novel Macro-Micro Fusion Network for User Representation Learning on Mobile Apps. WWW 2021: 3199-3209 - 2020
- [c6]Bang Liu, Haojie Wei, Di Niu, Haolan Chen, Yancheng He:
Asking Questions the Human Way: Scalable Question-Answer Generation from Text Corpus. WWW 2020: 2032-2043 - 2019
- [c5]Wei Li, Jingjing Xu, Yancheng He, Shengli Yan, Yunfang Wu, Xu Sun:
Coherent Comments Generation for Chinese Articles with a Graph-to-Sequence Model. ACL (1) 2019: 4843-4852 - [c4]Bang Liu, Di Niu, Haojie Wei, Jinghong Lin, Yancheng He, Kunfeng Lai, Yu Xu:
Matching Article Pairs with Graphical Decomposition and Convolutions. ACL (1) 2019: 6284-6294 - [c3]Fred X. Han, Di Niu, Haolan Chen, Kunfeng Lai, Yancheng He, Yu Xu:
A Deep Generative Approach to Search Extrapolation and Recommendation. KDD 2019: 1771-1779 - [c2]Bang Liu, Mingjun Zhao, Di Niu, Kunfeng Lai, Yancheng He, Haojie Wei, Yu Xu:
Learning to Generate Questions by LearningWhat not to Generate. WWW 2019: 1106-1118 - [c1]Fred X. Han, Di Niu, Kunfeng Lai, Weidong Guo, Yancheng He, Yu Xu:
Inferring Search Queries from Web Documents via a Graph-Augmented Sequence to Attention Network. WWW 2019: 2792-2798
Informal and Other Publications
- 2025
- [i31]Hui Huang, Jiaheng Liu, Yancheng He, Shilong Li, Bing Xu, Conghui Zhu, Muyun Yang, Tiejun Zhao:
MuSC: Improving Complex Instruction Following with Multi-granularity Self-Contrastive Training. CoRR abs/2502.11541 (2025) - [i30]Jihao Gu, Yingyao Wang, Pi Bu, Chen Wang, Ziming Wang, Tengtao Song, Donglai Wei, Jiale Yuan, Yingxiu Zhao, Yancheng He, Shilong Li, Jiaheng Liu, Meng Cao, Jun Song, Yingshui Tan, Xiang Li, Wenbo Su, Zhicheng Zheng, Xiaoyong Zhu, Bo Zheng:
ChineseSimpleVQA - "See the World, Discover Knowledge": A Chinese Factuality Evaluation for Large Vision Language Models. CoRR abs/2502.11718 (2025) - [i29]Alexander Zhang, Marcus Dong, Jiaheng Liu, Wei Zhang, Yejie Wang, Jian Yang, Ge Zhang, Tianyu Liu, Zhongyuan Peng, Yingshui Tan, Yuanxing Zhang, Zhexu Wang, Weixun Wang, Yancheng He, Ken Deng, Wangchunshu Zhou, Wenhao Huang, Zhaoxiang Zhang:
CodeCriticBench: A Holistic Code Critique Benchmark for Large Language Models. CoRR abs/2502.16614 (2025) - [i28]Wei Liu, Yancheng He, Hui Huang, Chengwei Hu, Jiaheng Liu, Shilong Li, Wenbo Su, Bo Zheng:
AIR: Complex Instruction Generation via Automatic Iterative Refinement. CoRR abs/2502.17787 (2025) - [i27]Yancheng He, Shilong Li, Jiaheng Liu, Weixun Wang, Xingyuan Bu, Ge Zhang, Zhongyuan Peng, Zhaoxiang Zhang, Zhicheng Zheng, Wenbo Su, Bo Zheng:
Can Large Language Models Detect Errors in Long Chain-of-Thought Reasoning? CoRR abs/2502.19361 (2025) - [i26]Haibin Chen, Kangtao Lv, Chengwei Hu, Yanshi Li, Yujin Yuan, Yancheng He, Xingyao Zhang, Langming Liu, Shilei Liu, Wenbo Su, Bo Zheng:
ChineseEcomQA: A Scalable E-commerce Concept Evaluation Benchmark for Large Language Models. CoRR abs/2502.20196 (2025) - [i25]Jiaheng Liu, Dawei Zhu, Zhiqi Bai, Yancheng He, Huanxuan Liao, Haoran Que, Zekun Wang, Chenchen Zhang, Ge Zhang, Jiebin Zhang, Yuanxing Zhang, Zhuo Chen, Hangyu Guo, Shilong Li, Ziqiang Liu, Yong Shan, Yifan Song, Jiayi Tian, Wenhao Wu, Zhejian Zhou, Ruijie Zhu, Junlan Feng, Yang Gao, Shizhu He, Zhoujun Li, Tianyu Liu, Fanyu Meng, Wenbo Su, Yingshui Tan, Zili Wang, Jian Yang, Wei Ye, Bo Zheng, Wangchunshu Zhou, Wenhao Huang, Sujian Li, Zhaoxiang Zhang:
A Comprehensive Survey on Long Context Language Modeling. CoRR abs/2503.17407 (2025) - [i24]David Ma, Yuanxing Zhang, Jincheng Ren, Jarvis Guo, Yifan Yao, Zhenlin Wei, Zhenzhu Yang, Zhongyuan Peng, Boyu Feng, Jun Ma, Xiao Gu, Zhoufutu Wen, King Zhu, Yancheng He, Meng Cao, Shiwen Ni, Jiaheng Liu, Wenhao Huang, Ge Zhang, Xiaojie Jin:
IV-Bench: A Benchmark for Image-Grounded Video Perception and Reasoning in Multimodal LLMs. CoRR abs/2504.15415 (2025) - [i23]Jianyu Liu, Hangyu Guo, Ranjie Duan, Xingyuan Bu, Yancheng He, Shilong Li, Hui Huang, Jiaheng Liu, Yucheng Wang, Chenchen Jing, Xingwei Qu, Xiao Zhang, Yingshui Tan, Yanan Wu, Jihao Gu, Yangguang Li, Jianke Zhu:
DREAM: Disentangling Risks to Enhance Safety Alignment in Multimodal Large Language Models. CoRR abs/2504.18053 (2025) - [i22]Hui Huang, Yancheng He, Hongli Zhou, Rui Zhang, Wei Liu, Weixun Wang, Wenbo Su, Bo Zheng, Jiaheng Liu:
Think-J: Learning to Think for Generative LLM-as-a-Judge. CoRR abs/2505.14268 (2025) - [i21]Jiajun Shi, Jian Yang, Jiaheng Liu, Xingyuan Bu, Jiangjie Chen, Junting Zhou, Kaijing Ma, Zhoufutu Wen, Bingli Wang, Yancheng He, Liang Song, Hualei Zhu, Shilong Li, Xingjian Wang, Wei Zhang, Ruibin Yuan, Yifan Yao, Wenjun Yang, Yunli Wang, Siyuan Fang, Siyu Yuan, Qianyu He, Xiangru Tang, Yingshui Tan, Wangchunshu Zhou, Zhaoxiang Zhang, Zhoujun Li, Wenhao Huang, Ge Zhang:
KORGym: A Dynamic Game Platform for LLM Reasoning Evaluation. CoRR abs/2505.14552 (2025) - [i20]Weixun Wang, Shaopan Xiong, Gengru Chen, Wei Gao, Sheng Guo, Yancheng He, Ju Huang, Jiaheng Liu, Zhendong Li, Xiaoyang Li, Zichen Liu, Haizhou Zhao, Dakai An, Lunxi Cao, Qiyang Cao, Wanxi Deng, Feilei Du, Yiliang Gu, Jiahe Li, Xiang Li, Mingjie Liu, Yijia Luo, Zihe Liu, Yadao Wang, Pei Wang, Tianyuan Wu, Yanan Wu, Yuheng Zhao, Shuaibing Zhao, Jin Yang, Siran Yang, Yingshui Tan, Huimin Yi, Yuchi Xu, Yujin Yuan, Xingyao Zhang, Lin Qu, Wenbo Su, Wei Wang, Jiamang Wang, Bo Zheng:
Reinforcement Learning Optimization for Large-Scale Learning: An Efficient and User-Friendly Scaling Library. CoRR abs/2506.06122 (2025) - [i19]Yaowei Li, Xiaoyu Li, Zhaoyang Zhang, Yuxuan Bian, Gan Liu, Xinyuan Li, Jiale Xu, Wenbo Hu, Yating Liu, Lingen Li, Jing Cai, Yuexian Zou, Yancheng He, Ying Shan:
IC-Custom: Diverse Image Customization via In-Context Learning. CoRR abs/2507.01926 (2025) - [i18]Zihe Liu, Jiashun Liu, Yancheng He, Weixun Wang, Jiaheng Liu, Ling Pan, Xinyu Hu, Shaopan Xiong, Ju Huang, Jian Hu, Shengyi Huang, Siran Yang, Jiamang Wang, Wenbo Su, Bo Zheng:
Part I: Tricks or Traps? A Deep Dive into RL for LLM Reasoning. CoRR abs/2508.08221 (2025) - [i17]Shilong Li, Xingyuan Bu, Wenjie Wang, Jiaheng Liu, Jun Dong, Haoyang He, Hao Lu, Haozhe Zhang, Chenchen Jing, Zhen Li, Chuanhao Li, Jiayi Tian, Chenchen Zhang, Tianhao Peng, Yancheng He, Jihao Gu, Yuanxing Zhang, Jian Yang, Ge Zhang, Wenhao Huang, Wangchunshu Zhou, Zhaoxiang Zhang, Ruizhe Ding, Shilei Wen:
MM-BrowseComp: A Comprehensive Benchmark for Multimodal Browsing Agents. CoRR abs/2508.13186 (2025) - 2024
- [i16]Ge Bai, Jie Liu, Xingyuan Bu, Yancheng He, Jiaheng Liu, Zhanhui Zhou, Zhuoran Lin, Wenbo Su, Tiezheng Ge, Bo Zheng, Wanli Ouyang:
MT-Bench-101: A Fine-Grained Benchmark for Evaluating Large Language Models in Multi-Turn Dialogues. CoRR abs/2402.14762 (2024) - [i15]Hanyu Li, Weizhi Ma, Peijie Sun, Jiayu Li, Cunxiang Yin, Yancheng He, Guoqiang Xu, Min Zhang, Shaoping Ma:
Aiming at the Target: Filter Collaborative Information for Cross-Domain Recommendation. CoRR abs/2403.20296 (2024) - [i14]Shilong Li, Yancheng He, Hangyu Guo, Xingyuan Bu, Ge Bai, Jie Liu, Jiaheng Liu, Xingwei Qu, Yangguang Li, Wanli Ouyang, Wenbo Su, Bo Zheng:
GraphReader: Building Graph-based Agent to Enhance Long-Context Abilities of Large Language Models. CoRR abs/2406.14550 (2024) - [i13]Shilong Li, Yancheng He, Hui Huang, Xingyuan Bu, Jiaheng Liu, Hangyu Guo, Weixun Wang, Jihao Gu, Wenbo Su, Bo Zheng:
2D-DPO: Scaling Direct Preference Optimization with 2-Dimensional Supervision. CoRR abs/2410.19720 (2024) - [i12]Yancheng He, Shilong Li, Jiaheng Liu, Yingshui Tan, Weixun Wang, Hui Huang, Xingyuan Bu, Hangyu Guo, Chengwei Hu, Boren Zheng, Zhuoran Lin, Xuepeng Liu, Dekai Sun, Shirong Lin, Zhicheng Zheng, Xiaoyong Zhu, Wenbo Su, Bo Zheng:
Chinese SimpleQA: A Chinese Factuality Evaluation for Large Language Models. CoRR abs/2411.07140 (2024) - [i11]Chengwei Hu, Jianhui Zheng, Yancheng He, Hangyu Guo, Junguang Jiang, Han Zhu, Kai Sun, Yuning Jiang, Wenbo Su, Bo Zheng:
WiS Platform: Enhancing Evaluation of LLM-Based Multi-Agent Systems Through Game-Based Analysis. CoRR abs/2412.03359 (2024) - [i10]Jihao Gu, Yingyao Wang, Meng Cao, Pi Bu, Jun Song, Yancheng He, Shilong Li, Bo Zheng:
Token Preference Optimization with Self-Calibrated Visual-Anchored Rewards for Hallucination Mitigation. CoRR abs/2412.14487 (2024) - [i9]Yingshui Tan, Boren Zheng, Baihui Zheng, Kerui Cao, Huiyun Jing, Jincheng Wei, Jiaheng Liu, Yancheng He, Wenbo Su, Xiangyong Zhu, Bo Zheng, Kaifu Zhang:
Chinese SafetyQA: A Safety Short-form Factuality Benchmark for Large Language Models. CoRR abs/2412.15265 (2024) - 2023
- [i8]Dekai Sun, Yancheng He, Jiqing Han:
Using Auxiliary Tasks In Multimodal Fusion Of Wav2vec 2.0 And BERT For Multimodal Emotion Recognition. CoRR abs/2302.13661 (2023) - 2022
- [i7]Yuncong Li, Cunxiang Yin, Yancheng He, Guoqiang Xu, Jing Cai, Leeven Luo, Sheng-hua Zhong:
Modeling User Repeat Consumption Behavior for Online Novel Recommendation. CoRR abs/2209.01963 (2022) - 2021
- [i6]Fang Wang, Yuncong Li, Sheng-hua Zhong, Cunxiang Yin, Yancheng He:
Aspect-Sentiment-Multiple-Opinion Triplet Extraction. CoRR abs/2110.07303 (2021) - 2020
- [i5]Bang Liu, Haojie Wei, Di Niu, Haolan Chen, Yancheng He:
Asking Questions the Human Way: Scalable Question-Answer Generation from Text Corpus. CoRR abs/2002.00748 (2020) - [i4]Siyu Duan, Wei Li, Cai Jing, Yancheng He, Yunfang Wu, Xu Sun:
Query-Variant Advertisement Text Generation with Association Knowledge. CoRR abs/2004.06438 (2020) - 2019
- [i3]Bang Liu, Mingjun Zhao, Di Niu, Kunfeng Lai, Yancheng He, Haojie Wei, Yu Xu:
Learning to Generate Questions by Learning What not to Generate. CoRR abs/1902.10418 (2019) - [i2]Wei Li, Jingjing Xu, Yancheng He, Shengli Yan, Yunfang Wu, Xu Sun:
Coherent Comment Generation for Chinese Articles with a Graph-to-Sequence Model. CoRR abs/1906.01231 (2019) - [i1]Wei Li, Shuheng Li, Shuming Ma, Yancheng He, Deli Chen, Xu Sun:
Recursive Graphical Neural Networks for Text Classification. CoRR abs/1909.08166 (2019)
Coauthor Index
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